露天采矿技术2024，Vol.39Issue(2)：5-9,5.DOI:10.13235/j.cnki.ltcm.2024.02.002
基于数据挖掘的露天矿道路质量研究
Research on open-pit mine road quality based on data mining
孙欣武 1张瑞新 1孙健东 2邢丹 1马赛赛 1王妍1
作者信息
- 1. 华北科技学院 计算机学院,河北 三河 065201
- 2. 华北科技学院 矿山安全学院,河北 三河 065201
- 折叠
摘要
Abstract
This article explores the evaluation method of road quality in open-pit mines,through deep mining of mine truck operation data in transportation links of open-pit mines,designs road extraction algorithms,analyzes the vertical acceleration and elevation data,and investigating the two evaluation metrics:the standard deviation of the altitude H and the root-mean-square of the vertical acceleration RMSVA,respectively.We verify the consistency and validity of the two.The evaluation results are categorized into three levels:good,fair and poor,and the road problems corresponding to the different levels are pointed out and suggestions for repair are given.The results show that the two indexes are effective in evaluating the quality of open-pit mine roads in the range of slope-4%to 4%,which helps to improve the efficiency and quality of mine road maintenance.关键词
道路质量/RMSVA/露天煤矿/智能化/数据挖掘Key words
road quality/RMSVA/open-pit coal mine/intelligent/data mining分类
矿业与冶金引用本文复制引用
孙欣武,张瑞新,孙健东,邢丹,马赛赛,王妍..基于数据挖掘的露天矿道路质量研究[J].露天采矿技术,2024,39(2):5-9,5.
